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peio72

Translation MCP Server

by peio72

analyze_translation_context

Analyze translation context to provide suggestions for a specific key and target locale, ensuring accurate and context-aware translations within the Translation MCP Server.

Instructions

Analyze translation context and provide suggestions

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keyYesTranslation key to analyze
target_localeYesTarget locale
Behavior1/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure. The description does not disclose any behavioral traits such as whether this is a read-only or mutation operation, what permissions are required, how suggestions are generated, or any rate limits. It lacks essential context for safe and effective use.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence with no wasted words. It is appropriately sized and front-loaded, stating the core action and outcome. However, it could be more structured by including key details, but it earns high marks for brevity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity of analyzing translation context and providing suggestions, with no annotations and no output schema, the description is incomplete. It doesn't explain what 'suggestions' entail, the format of the output, or any behavioral constraints. This leaves significant gaps for the agent to understand the tool's full context.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 100% description coverage, with clear documentation for both parameters ('key' and 'target_locale'). The description does not add any meaning beyond what the schema provides, such as explaining the format of 'key' or valid values for 'target_locale'. Baseline score of 3 is appropriate as the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Analyze translation context and provide suggestions' states a general purpose but lacks specificity. It mentions 'translation context' and 'suggestions' but doesn't specify what kind of analysis or suggestions are provided, nor does it differentiate from siblings like 'validate_translations' or 'translate_key'. The description is vague rather than tautological.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, context for analysis, or comparisons to siblings such as 'validate_translations' or 'translate_key'. There is no explicit or implied usage scenario, leaving the agent without direction.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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